Juho Leinonen
Academy Research Fellow
Academy Research Fellow
T313 Dept. Computer Science
Full researcher profile
https://research.aalto.fi/...
Email
[email protected]
Areas of expertise
113 Computer and information sciences, 516 Educational sciences, Software engineering, operating systems, man-computer interaction
Honors and awards
ACE2024 Best Paper Award
Best paper award for "Evaluating LLM-generated Worked Examples in an Introductory Programming Course": https://dl.acm.org/doi/10.1145/3636243.3636252
Award or honor granted for a specific work
Department of Computer Science
Jan 2024
UKICER 2023 Best Paper Award
For "Exploring the Interplay of Achievement Goals, Self-Efficacy, Prior Experience and Course Achievement"
Award or honor granted for a specific work
Computer Science Lecturers
Sep 2023
The best practitioner paper at the 25th Australasian Computing Education Conference, ACE 2023
Award or honor granted for a specific work
Department of Computer Science
Jan 2023
ICER 2022 Best Paper Award for Article "Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models"
Award or honor granted for a specific work
Computer Science Lecturers
Jan 2022
SIGCSE TS 2022 Best Paper Computing Education Research
For "Time-on-Task Metrics for Predicting Performance"
Award or honor granted for a specific work
Department of Computer Science
Mar 2022
Best Paper Award at the 23rd Australasian Computing Education Conference, ACE2021
Best Paper Award at the 23rd Australasian Computing Education Conference (ACE2021) for the paper "Exploring the Effects of Contextualized Problem Descriptions on Problem Solving”.
Award or honor granted for a specific work
Department of Computer Science
Feb 2021
Publications
Analyzing Students’ Preferences for LLM-Generated Analogies
Seth Bernstein, Paul Denny, Juho Leinonen, Matt Littlefield, Arto Hellas, Stephen MacNeil
2024
"Like a Nesting Doll" : Analyzing Recursion Analogies Generated by CS Students Using Large Language Models
Seth Bernstein, Paul Denny, Juho Leinonen, Lauren Kan, Arto Hellas, Matt Littlefield, Sami Sarsa, Stephen Macneil
2024
ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education
Computing Education in the Era of Generative AI
Paul Denny, James Prather, Brett A. Becker, James Finnie-Ansley, Arto Hellas, Juho Leinonen, Andrew Luxton-Reilly, Brent N. Reeves, Eddie Antonio Santos, Sami Sarsa
2024
Communications of the ACM
Explaining Code with a Purpose
Paul Denny, David H. Smith, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen
2024
ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education
Open Source Language Models Can Provide Feedback
Charles Koutcheme, Nicola Dainese, Sami Sarsa, Arto Hellas, Juho Leinonen, Paul Denny
2024
ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education
Evaluating Contextually Personalized Programming Exercises Created with Generative AI
Evanfiya Logacheva, Arto Hellas, James Prather, Sami Sarsa, Juho Leinonen
2024
ICER '24: Proceedings of the 2024 ACM Conference on International Computing Education Research
Decoding Logic Errors
Stephen MacNeil, Paul Denny, Andrew Tran, Juho Leinonen, Seth Bernstein, Arto Hellas, Sami Sarsa, Joanne Kim
2024
ACE 2024 - Proceedings of the 26th Australasian Computing Education Conference, Held in conjunction with
Self-Regulation, Self-Efficacy, and Fear of Failure Interactions with How Novices Use LLMs to Solve Programming Problems
Lauren E. Margulieux, James Prather, Brent N. Reeves, Brett A. Becker, Gozde Cetin Uzun, Dastyni Loksa, Juho Leinonen, Paul Denny
2024
ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education
Solving Proof Block Problems Using Large Language Models
Seth Poulsen, Sami Sarsa, James Prather, Juho Leinonen, Brett A. Becker, Arto Hellas, Paul Denny, Brent N. Reeves
2024
SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education
How Instructors Incorporate Generative AI into Teaching Computing
James Prather, Jamie Gorson Benario, Narges Norouzi, Leo Porter, David H. Smith, Juho Leinonen, Sam Lau, Simone Opel, Brent N. Reeves, Sven Strickroth, Natalie Kiesler, Stephen MacNeil, Virginia Pettit, Jaromir Savelka, Daniel Zingaro
2024